\documentclass[margin,line]{res}
\usepackage{url}

\oddsidemargin -.5in
\evensidemargin -.5in
\textwidth=6.0in
\itemsep=0in
\parsep=0in

\newenvironment{list1}{
  \begin{list}{\ding{113}}{%
      \setlength{\itemsep}{0in}
      \setlength{\parsep}{0in} \setlength{\parskip}{0in}
      \setlength{\topsep}{0in} \setlength{\partopsep}{0in}
      \setlength{\leftmargin}{0.17in}}}{\end{list}}
\newenvironment{list2}{
  \begin{list}{$\bullet$}{%
      \setlength{\itemsep}{0in}
      \setlength{\parsep}{0in} \setlength{\parskip}{0in}
      \setlength{\topsep}{0in} \setlength{\partopsep}{0in}
      \setlength{\leftmargin}{0.2in}}}{\end{list}}


\begin{document}

\name{Weinan ZHANG \vspace*{.1in}}

\begin{resume}
\section{\sc Contact Information}
\vspace{.05in}
\begin{tabular}{@{}p{2in}p{4in}}
University College London   & \textsf{Mobile:}  (44) 07449600282 \\
Gower Street, London           & \textsf{E-mail:}  w.zhang@cs.ucl.ac.uk\\
United Kindom WC1E 6BT     & \\ %\textsf{WWW:} \url{http://apex.sjtu.edu.cn/apex_wiki/wnzhang} \\
\end{tabular}


\section{\sc Research Interests}
%Information Retrieval, Semantic Web, Machine Learning and its applications in Recommender Systems and Internet Advertising.
Machine Learning and its applications in Recommender Systems, Internet Advertising, Information Retrieval, and Web Mining.
%Information Retrieval, Semantic Web, and
\section{\sc Education}
{\bf University College London}, London, United Kingdom \hfill {\bf 2012 - 2016 (expected)}\\
\vspace*{-.1in}
\begin{list2}
\item PhD Student, Department of Computer Science
\subitem - Media Future Group. Supervisor: Dr. Jun Wang.
\end{list2}

{\bf Shanghai Jiao Tong University}, Shanghai, P.R. China \hfill {\bf 2007 - 2011}\\
\vspace*{-.1in}
\begin{list2}
\item BSc, Department of Computer Science and Engineering
\subitem - APEX Data \& Knowledge Management Lab. Supervisor: Professor Yong Yu.
\end{list2}


\section{\sc Honors and Awards}
State Scholarship Fund, 2012-2016.

\vspace*{-2.5mm} Faculty of Engineering Science Scholarship in UCL, 2012-2016.

\vspace*{-2.5mm} Third place in KDD-Cup 2011: Yahoo! Music Recommendation (Track 1), 2011.

\vspace*{-2.5mm} Excellent Graduation Thesis, Shanghai Jiao Tong University, 2011.

\vspace*{-2.5mm} Outstanding Graduate Student, Shanghai Jiao Tong University, 2011.

\vspace*{-2.5mm} Excellent Assessment of Internship in Microsoft Research Asia, 2011.

\vspace*{-2.5mm} Class B Scholarship, Shanghai Jiao Tong University, 2008, 2009, and 2010.

\vspace*{-2.5mm} Computer World Scholarship, 2009.

\vspace*{-2.5mm} Top Group Award in IBM College Programing Contest, 2009.

\section{\sc Research Internship}
{\bf Digital Enterprise Research Institute}, Galway, Ireland

\vspace{-.3cm}
\textsf{Visiting Scholar} \hfill {\bf Jun. 2011 - Aug. 2011}\\
My research topic at DERI included recommender systems leveraged by linked open data, and personalized paper recommendation system. Supervised by Alexandre Passant.

{\bf Microsoft Research Asia}, Beijing, P.R. China

\vspace{-.3cm}
\textsf{Research Intern} \hfill {\bf Jul. 2010 - Jan. 2011}\\
My research topic at MSRA concentrated on advertiser-oriented services in sponsored search, including bid keywords recommendation, bid price optimization, and campaign budget allocation. Supervised by Bin Gao and Tie-Yan Liu.

%{\bf APEX Data \& Knowledge Management Lab}, Shanghai, P.R. China
%
%\vspace{-.3cm}
%\textsf{Research Assistant} \hfill {\bf Jul. 2009 - present}\\
%Currently I am a first-year master student of Apex Data \& Knowledge Management Lab, Department of Computer Science \& Engineering, Shanghai Jiao Tong University. My advisor is Professor Yong Yu. I initiated my research with Professor Gui-Rong Xue in 2009.

\section{\sc Research Experience}
{\bf Collaborative Filtering} \hfill {\bf Feb. 2011 - Now}\\
Currently I am the leader of recommender system group in ApexLab. The research topics include informative collaborative filtering, distributed matrix factorization, and transfer learning on collaborative filtering. In KDD-Cup 2011 Yahoo! music recommendation contest, my team won the third place of track 1, and best single-model performance.

{\bf Sponsored Search} \hfill {\bf Jun. 2010 - Jan. 2011}\\
Research topics about advertiser-oriented service in sponsored search. Deep analysis of search advertising log and large-scale non-linear optimization are the main parts of my work. These work were developed when I was a research intern in Microsoft Research Asia.

{\bf Contextual Advertising} \hfill {\bf Oct. 2009 - Sep. 2011}\\
I conducted two research work about contextual advertising using semantic knowledge bases. Both of them are related to matching between advertising-related items and the target context.

{\bf Learning to Rank} \hfill {\bf Mar. 2010 - May. 2010}\\
I participated the Yahoo! Learning To Rank Challenge in 2010. Models include RankSVM, RankNet, LambdaRank, and GBDT. Despite of no good ranking, I learned a lot and became familiar with these models. Now I start to research collaborative filtering leveraged by learning to rank models.

{\bf Text Classification}  \hfill {\bf Jul. 2009 - Mar. 2010}\\
I participated the international contest LSHTC about large scale hierarchical text classification on ODP taxonomy. Main algorithm was a two-stage deep classifier. Final rank: 5, 1, 3 and 4th in four tasks of the contest. At that time, I did know the ensemble algorithms.

\section{\sc Review Work}
Subreviewer of
\begin{list2}
\item Conference WSDM 2011, WWW 2011, RecSys 2011, PAKDD 2011, WWW 2012, WSDM 2013;
\item Journal WWWJ, TIOS, TWEB, TIST and JMLR.
\end{list2}
\section{\sc Publications}
[1] \textsc{\textbf{Weinan Zhang}, Li Tian, Xinruo Sun, Haofen Wang and Yong Yu}. A Semantic Approach to Recommending Text Advertisements for Images. In the Proceedings of 6th ACM Conference on Recommender Systems. RecSys 2012. Sep. 9-13. Dublin, Ireland.

\vspace*{-2.5mm} [2] \textsc{Diyi Yang, Tianqi Chen, \textbf{Weinan Zhang}, Qiuxia Lu and Yong Yu}. Local Implicit Feedback Mining for Music Recommendation. In the Proceedings of 6th ACM Conference on Recommender Systems. RecSys 2012. Sep. 9-13. Dublin, Ireland.

\vspace*{-2.5mm} [3] \textsc{\textbf{Weinan Zhang}, Ying Zhang, Bin Gao, Yong Yu, Xiaojie Yuan and Tie-Yan Liu}. Joint Optimization of Bid and Budget Allocation in Sponsored Search. In the Proceedings of 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Aug. 12-16. Beijing, P.R. China.

\vspace*{-2.5mm} [4] \textsc{\textbf{Weinan Zhang}, Dingquan Wang, Gui-Rong Xue and Hongyuan Zha}. Advertising Keywords Recommendation for Short-text Web Pages using Wikipedia. ACM Transactions on Intelligent Systems and Technology, 2012, Vol. 3, No. 2. DOI = 10.1145/2089094.2089112.

\vspace*{-2.5mm} [5] \textsc{Jiansong Chao, Haofen Wang, Wenlei Zhou, \textbf{Weinan Zhang} and Yong Yu}. TuneSensor: A Semantic-Driven Music Recommendation Service For Digital Photo Albums. In the Proceedings of PD Track of 16th International Semantic Web Conference. ISWC 2011. Oct. 23-27. Bonn, Germany.

\vspace*{-2.5mm} [6] \textsc{Qiuxia Lu, Diyi Yang, Tianqi Chen, \textbf{Weinan Zhang} and Yong Yu}. Informative Household Recommendation with Feature-based Matrix Factorization. In the CAMRa Workshop of 5th Recommender System Conference. RecSys 2011. Oct. 23-27. Chicago, USA.

\vspace*{-2.5mm} [7] \textsc{Tianqi Chen, Zhao Zheng, Qiuxia Lu, Xiao Jiang, Yuqiang Chen, \textbf{Weinan Zhang}, Kailong Chen, Yong Yu, Nathan N. Liu, Bin Cao, Luheng He and Qiang Yang}. Informative Ensemble of Multi-Resolution Dynamic Factorization Models. In the KDD-CUP'11 Workshop of 17th ACM SigKDD conference. Aug. 21-24 2011, San Diego, CA, USA.

\vspace*{-2.5mm} [8] \textsc{Wenlei Zhou, Haofen Wang, Jiansong Chao, \textbf{Weinan Zhang}, and Yong Yu}. LODDO: Using Linked Open Data Description Overlap to Measure Semantic Relatedness Between Named Entities. In the Proceedings of the Joint International Semantic Technology Conference (JIST 2011). Dec. 2-4, 2011. Hangzhou, China.

\vspace*{-2.5mm} [9] \textsc{Dingquan Wang, \textbf{Weinan Zhang}, Gui-Rong Xue, and Yong Yu}. Deep Classifier for Large Scale Hierarchical Text Classification. Short paper published at First Pascal Challenge on Large Scale Hierarchical Text classification, available at http://lshtc.iit.demokritos.gr.

\section{\sc Open Source Package}
{\bf SVDFeature (C++)}  \hfill {\bf Jul. 2011 - Now}\\
This project provides an abstract framework to build new matrix factorization variants simply by defining features. It origins during we participated KDD-Cup 2011.\\
Available at http://apex.sjtu.edu.cn/apex\_wiki/svdfeature.

\section{\sc Computer Skills}
\begin{list2}
\item Machine Learning Packages: LibSVM, RankSVM, WEKA, CLUTO.
\item Languages:  C/C++/C\#, Java, Python, Matlab, \LaTeX.
\item Operating Systems:  Windows, Unix/Linux.
\end{list2}



\end{resume}
\end{document}




